zju-vipa / MosaicKDLinks
[NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
☆45Updated 3 years ago
Alternatives and similar repositories for MosaicKD
Users that are interested in MosaicKD are comparing it to the libraries listed below
Sorting:
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆72Updated 3 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆66Updated 4 years ago
- Official PyTorch implementation of PS-KD☆90Updated 3 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆66Updated 2 years ago
- ☆41Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated 2 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆74Updated 3 years ago
- The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.☆70Updated 3 years ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆71Updated last year
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆61Updated 2 years ago
- ☆23Updated 2 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)☆70Updated last year
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆96Updated 4 years ago
- ☆33Updated 4 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆40Updated 3 years ago
- [ICLR 2023 Spotlight] Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors☆39Updated 2 years ago
- ☆37Updated 3 years ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆37Updated 2 years ago
- Code and pretrained models for paper: Data-Free Adversarial Distillation☆99Updated 2 years ago
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆64Updated 3 years ago
- [ICLR 2022]: Fast AdvProp☆35Updated 3 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆76Updated 3 years ago
- ☆48Updated 2 years ago
- [CVPR-2022] Official implementation for "Knowledge Distillation with the Reused Teacher Classifier".☆100Updated 3 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆104Updated 2 years ago
- Official implementation of the paper "Function-Consistent Feature Distillation" (ICLR 2023)☆30Updated 2 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆54Updated 3 years ago
- ☆47Updated 4 years ago
- Efficient Dataset Distillation by Representative Matching☆113Updated last year